Multi-type random game dynamics: limits at discontinuities and cyclic limits
Raghupati Vyas, Kousik Das, Veeraruna Kavitha, Souvik Roy

TL;DR
This paper analyzes complex population dynamics involving mixed rational and behavioral players using a differential inclusion approach, revealing new limit behaviors at discontinuities and conditions for cyclic outcomes.
Contribution
It introduces a stochastic-approximation framework for discontinuous dynamics, characterizes limits via ICT sets, and explores cyclic outcomes in strategic population games.
Findings
Identification of non-classical zeros at discontinuities
Conditions for cyclic outcomes in population dynamics
Impact of player types on long-term strategic behavior
Abstract
We consider (random) strategic interactions in a large population consisting of a variety of players. A rational player chooses actions that maximize certain utility functions, while a behavioral player chooses actions based on preferences such as avoid-the-crowd or follow-the-majority. We specifically study a turn-by-turn dynamic process in which players choose their actions sequentially and once; the utilities are realized either immediately or at the end of the game. In the literature, such dynamical systems are often analyzed using an appropriate approximating ordinary differential equation (ODE). However, the ODEs approximating the dynamics with pure actions are typically discontinuous. We adopt a differential inclusion (DI) based stochastic-approximation framework to derive the limiting analysis. The limits of the dynamics are characterized through the internally chain…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGame Theory and Applications · Opinion Dynamics and Social Influence · Evolutionary Game Theory and Cooperation
